Wang Yu-Yang, Yang Ping-Heng, Zhang Jie-Ru
Field Scientific Observation & Research Base of Karst Eco-environments at Nanchuan in Chongqing, Ministry of Natural Resources, Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China.
Key Laboratory of Karst Ecosystem and Treatment of Rocky Desertification, Ministry of Natural Resources, IRCK by UNESCO, Guilin 541004, China.
Huan Jing Ke Xue. 2022 Oct 8;43(10):4470-4479. doi: 10.13227/j.hjkx.202112316.
Samples of sewage, well water, and underground river water of the urbanized Laolongdong karst underground river basin in Chongqing, China were collected during July 2019 and October 2020 and measured to determine the nitrate origin and biogeochemical processes based on geochemistry and dual nitrate isotope (N-NO and O-NO) data. The results showed that:① the isotopic nitrate compositions of sewage ranged from -3.3‰ to 14.6‰ for N-NO and from -5.2‰ to 20.6‰ for O-NO, which indicated that nitrate originated from manure and sewage, fertilizer, and soil organic nitrogen. The N-NO and O-NO of well water varied from 3.1‰ to 12.6‰ and 2.9‰ to 8.9‰, respectively, suggesting nitrate was mainly from soil organic nitrogen and manure and sewage. For the underground river water, the N-NO and O-NO ranged from 5.6‰ to 28.6‰ and from -2.0‰ to 15.7‰, respectively, suggesting that municipal sewage and manure were the dominate nitrate sources. ② Based on the MixSIAR model, manure and sewage were the primary nitrate source of the underground river water, accounting for 89.1% of the total contribution, whereas the contributions of soil organic nitrogen, fertilizer, and atmospheric precipitation were 4.4%, 3.4%, and 3.1%, respectively. ③ In the basin, the concentration ratios of COD:(NO) from low to high were as follows:well water (0.14-5.15), underground river water (0.50-9.36), and sewage (4.08-89.50). Only 50% of well water samples with COD:(NO) were slightly higher than 0.65, which is the minimum stoichiometric ratio for denitrification occurrence. This indicated that there were insufficient COD concentrations to support that denitrification occurred in the well water. This was further verified by no significant enrichment of nitrogen and oxygen isotopes. As much as 90% of underground river water samples had a COD:(NO) higher than 0.65, and the dual nitrate isotopes were simultaneously enriched with a N:O of 1.8, which is within the ratios ranging from 1.3 to 2.1, indicating that denitrification occurred. The COD:(NO) for all wastewater samples was much higher than 0.65, of which 25% were higher than the stoichiometric ratio (29.34) for the occurrence of dissimilation reduction nitrate to ammonium (DNRA). The N-NO and (NH):(NO) of sewage increased simultaneously, indicating that DNRA may have occurred in the sewage.
2019年7月至2020年10月期间,在中国重庆城市化的老龙洞岩溶地下河流域采集了污水、井水和地下河水样本,并基于地球化学和双硝酸盐同位素(N-NO和O-NO)数据进行测量,以确定硝酸盐来源和生物地球化学过程。结果表明:①污水中硝酸盐的同位素组成,N-NO为-3.3‰至14.6‰,O-NO为-5.2‰至20.6‰,这表明硝酸盐来源于粪便与污水、肥料以及土壤有机氮。井水的N-NO和O-NO分别在3.1‰至12.6‰和2.9‰至8.9‰之间变化,表明硝酸盐主要来自土壤有机氮以及粪便与污水。对于地下河水,N-NO和O-NO分别在5.6‰至28.6‰和-2.0‰至15.7‰之间,表明城市污水和粪便为主要硝酸盐来源。②基于MixSIAR模型,粪便与污水是地下河水硝酸盐的主要来源,占总贡献的89.1%,而土壤有机氮、肥料和大气降水的贡献分别为4.4%、3.4%和3.1%。③在该流域,COD:(NO)的浓度比由低到高依次为:井水(0.14 - 5.15)、地下河水(0.50 - 9.36)和污水(4.08 - 89.50)。只有50%的井水样本COD:(NO)略高于0.65,这是反硝化发生的最小化学计量比。这表明COD浓度不足以支持井水中发生反硝化作用。氮和氧同位素没有显著富集进一步证实了这一点。多达90%的地下河水样本COD:(NO)高于0.65,双硝酸盐同位素同时富集,N:O为1.8,在1.3至2.1的范围内,表明发生了反硝化作用。所有废水样本的COD:(NO)都远高于0.65,其中25%高于异化硝酸盐还原为铵(DNRA)发生的化学计量比(29.34)。污水的N-NO和(NH):(NO)同时增加,表明污水中可能发生了DNRA。